from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from jms.dwd.oms.dwd_oms_order_dt import jms_dwd__dwd_oms_order_dt
from jms.dwd.dwd_wide_abnormal_union_waybill_dt import jms_dwd__dwd_wide_abnormal_union_waybill_dt
from jms.dwd.tab.dwd_tab_electronic_package_list_base_dt import jms_dwd__dwd_tab_electronic_package_list_base_dt
from jms.dim.tab.dim_tab_agent_point_base import jms_dim__dim_tab_agent_point_base
from jms.dwd.tab.dwd_tab_barscan_collect_base_dt import jms_dwd__dwd_tab_barscan_collect_base_dt
from jms.dwd.tab.dwd_tab_barscan_scan_delete_base_dt import jms_dwd__dwd_tab_barscan_scan_delete_base_dt
from jms.dim.dim_first_second_third_code_info import jms_dim__dim_first_second_third_code_info
from jms.dim.dim_network_whole_massage import jms_dim__dim_network_whole_massage
from jms.dim.dim_lmdm_sys_network_distributi import jms_dim__dim_lmdm_sys_network_distributi
from jms.dim.tms.dim_yl_tms_branch_line_base_dt import jms_dim__dim_yl_tms_branch_line_base_dt
from jms.dim.tms.dim_yl_tms_branch_point_base import jms_dim__dim_yl_tms_branch_point_base
from jms.dm.dm_tab_missrate_trace_waybill_next_dt import jms_dm__dm_tab_missrate_trace_waybill_next_dt

jms_dm__dm_tab_missrate_waybill_detail_dt = SparkSqlOperator(
    task_id='jms_dm__dm_tab_missrate_waybill_detail_dt',
    task_concurrency=1,
    pool_slots=2,
    master='yarn',
    execution_timeout=timedelta(minutes=30),
    email=['shenjiaming@jtexpress.com', 'yl_bigdata@yl-scm.com'],
    name='jms_dm__dm_tab_missrate_waybill_detail_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/dm_tab_missrate_waybill_detail_dt/execute.hql',
    driver_memory='8G',
    driver_cores=4,
    executor_cores=4,
    executor_memory='12G',
    num_executors=20,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
          'spark.dynamicAllocation.maxExecutors': 50,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 200,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
          'spark.sql.shuffle.partitions': 300,
          'spark.default.paralleism': 400,
          'spark.hadoop.hive.exec.dynamic.partition.mode': 'true',
          'spark.network.timeout': 900,
          'spark.core.connection.ack.wait.timeout': 300,
          'spark.sql.autoBroadcastJoinThreshold': 104857600,
          'spark.yarn.executor.memoryOverhead': 4096,
          },
    #hiveconf={'hive.exec.dynamic.partition': 'true',  # 动态分区
#              'hive.exec.dynamic.partition.mode': 'nonstrict',
#              'hive.exec.max.dynamic.partitions': 200,  # 每天生成 20 个分区
#              'hive.exec.max.dynamic.partitions.pernode': 200,  # 每天生成 20 个分区
#              },
    yarn_queue='pro',
)

jms_dm__dm_tab_missrate_waybill_detail_dt << [jms_dim__dim_yl_tms_branch_point_base,
                                              jms_dim__dim_yl_tms_branch_line_base_dt,
                                              jms_dim__dim_lmdm_sys_network_distributi,
                                              jms_dim__dim_network_whole_massage,
                                              jms_dim__dim_first_second_third_code_info,
                                              jms_dim__dim_tab_agent_point_base,
                                              jms_dwd__dwd_tab_barscan_collect_base_dt,
                                              jms_dwd__dwd_wide_abnormal_union_waybill_dt,
                                              jms_dwd__dwd_oms_order_dt,
                                              jms_dwd__dwd_tab_electronic_package_list_base_dt,
                                              jms_dwd__dwd_tab_barscan_scan_delete_base_dt,
                                              jms_dm__dm_tab_missrate_trace_waybill_next_dt
                                              ]
